According to Gartner, in the second quarter of 2021, mobile phone sales reached 328.8 million units with an increase of 10.8% year-on-year growth. It is remarkable and quite expected too! This outlines the need for using cloud-based automation platforms for mobile testing. Because when we are dealing with huge numbers and a global audience, it is the best bet.

Today's users of web and mobile applications and services expect fast and outstanding experiences. Delivering successful web services and applications means meeting these baseline expectations: In this blog post, we dive into why these three goals are vital to modern web applications and services. Then, we will look at how building global and distributed architectures achieve these goals.

You can find a collection of k6 scripts and build specification for CodeBuild in this tutorial here.

With customer-managed keys, Fivetran Business Critical users running AWS gain full control over credential encryption.

MongoDB vs DynamoDB: How do you choose between them? Whether you are a two-man team bootstrapping a proof of concept or an established one battling with high throughput and heavy load; this post can serve as a guidepost in your decision process. Before going into the details, a brief history lesson on how these technologies emerged is pertinent; you must understand the optimal conditions for running these systems and how they operate in the wild before making an informed choice.

Cloud testing, in simple terms, means testing software applications using the resources provided by the cloud. Resources can be any element i.e., hardware, software, or infrastructure which are necessary to carry out tests. Cloud testing helps an organization gain competitiveness by reducing the cost of testing. By using cloud computing services for testing, organizations or businesses can shorten the provisioning time.

As more and more companies move to a multi-cloud strategy and increase usage of a cloud native infrastructure, API providers are under a lot of pressure to deliver APIs at scale in multi-cloud environments. At the same time, APIs should follow each company’s security requirements and best practices, no matter the cloud platform. These reasons explain why many providers have such complex API authorization requirements.

Cloud-based technologies are on a rise today. Even if I deviate a bit from core IT fundamentals, the pandemic of 2021 made cloud tech a hero. It taught us how just an easy monthly subscription can give us access to thousands of movies, games, and live events such as the Tokyo Olympics via streaming. This is just a small example that we all can relate to and understand the cloud. In IT, however, the cloud means a lot more than just streaming media on the system.

Modern microservices-based architectures require companies to change not just the way they build applications but also how to deploy them. Basically, the new microservices foundation should be based on two main pillars: hybrid deployments and Kubernetes orchestrator. With the complete separation of the control plane (CP) and data plane (DP), Kong Gateway fully supports hybrid deployments.

More and more companies are eager to move their operations to the cloud. Yet, there’s quite a bit of ambiguity on what moving to the cloud actually means. Is your business running in the cloud while you host your database on another platform or while you rely on a third-party service to handle your payments? That’s a good start for moving to the cloud, but there are many other aspects to consider when building a cloud native infrastructure.